Implementing the Short Fourier Transform in MATLAB
Short Fourier Transform based on MATLAB, with speech recognition capability!
Professional MATLAB source code with comprehensive documentation and examples
Short Fourier Transform based on MATLAB, with speech recognition capability!
Some classic speech recognition code implemented in MATLAB.
This program demonstrates how to use the Data Acquisition Toolbox to capture two seconds of audio data from a sound card, extract its frequency components, and plot them.
Implement short-time analysis of speech signals using MATLAB, including voicing decision, fundamental frequency estimation, and experimental report.
The speech endpoint detection program included in Zhang Zhixing's book on speech processing and recognition
Time-frequency analysis of speech, as a key technology driving the intelligent and automated development of the information society, holds significant research importance and practical value. After nearly fifty years of arduous exploration and resear
Voice Quality Assessment
An audio processing program featuring FFT and noise reduction—a simple experiment suitable for beginners.
Source Code for Audio Watermark White Noise Attack Testing in MATLAB Environment
This is a simple isolated word speech recognition program I wrote in MATLAB. It involves preprocessing, MFCC extraction, and comparison using the DTW algorithm. If anyone is interested, it can also be used for joint programming with LabVIEW.
An audio watermarking system has been implemented, encompassing embedding and extraction processes. The original file is included.
For video-based vehicle detection using MATLAB speech recognition, test results achieved an accuracy rate of 90%.
Attack software for testing audio watermark robustness is extremely popular. The official homepage link is now broken.
4-Yuan Microphone Array for Voice Reverberation Removal—Suitable for Students Learning Array-Based De-Reverberation Techniques
Minimum Mean Square Error Estimation (MMSE) speech enhancement algorithm, simple and effective with no residual music noise.
1. Implement extraction of LPC coefficients, LPCC coefficients, and MFCC coefficients for a vowel and a voiceless consonant using MATLAB. 2. Estimate the power spectra of these two speech signals using LPC, with LPC coefficients set to 5th, 10th, 15t
Implement using MATLAB programming with an HMM model for isolated word speech recognition.
This document contains the source code for a MATLAB-based audio signal spectrum analyzer.
Mfcc extracts speech feature parameters that can distinguish different emotions.
Speaker-Specific Speech Emotion Recognition System Keywords: Speech Signal, Emotion Features, Emotion Recognition Includes thesis, source code, experimental data, etc.